Anyone can write code that produces a solution to a given task. But where code meets computer science is when you begin to break down tasks and think about them in terms of classic algorithms.
However, even seasoned computer scientists can be tripped up when trying to apply our algorithmic knowledge in dynamic languages (like JavaScript), which have sometimes very different performance characteristics compared to compiled/statically-typed languages.
In Kyle Simpson’s session on “Algorithms in JavaScript,” he will explore some pitfalls in algorithmic JavaScript and look at ways we can adjust our patterns to get the most out of the solution.